What Is Self Normalizing Neural Networks?
Self-normalizing neural networks (SNNs) are robust to perturbations and do not have high variance in their training errors (see Figure 1). SNNs push neuron activations to zero mean and unit variance thereby leading to the same effect as batch normalization, which enables to robustly learn many layers.
Self-Normalizing Neural Networks Interview with Gunter Klambauer
Gunter Klambauer interviewed about his new
17. Self-normalizing Neural Networks and a Two Time-Scale Update Rule for GANs. Sepp Hochreiter
Deep Learning: Theory, Algorithms, and Applications. Berlin, June 2017 The workshop aims at bringing together leading …
Dmitry Korobchenko - PyTorch Geometric for Graph Neural Nets | PyData Yerevan 2022
Dmitry Korobchenko Presents: PyTorch Geometric for Graph
